Chaos control using maximum Lyapunov number of universal learning network

K. Hirasawa, X. Wan, J. Murata, J. Hu

研究成果: ジャーナルへの寄稿Conference article

3 引用 (Scopus)

抄録

Chaotic behaviors are characterized mainly by Lyapunov numbers of a dynamic system. In this paper, a new method is proposed, which can control the maximum Lyapunov number of dynamic system that can be represented by Universal Learning Networks (ULNs). The maximum Lyapunov number of a dynamic system can be formulated by using higher order derivatives of ULNs and parameters of ULNs can be adjusted for the maximum Lyapunov number to approach to the target value by the combined gradient and random search method. Based on simulation results, a fully connected ULN with three nodes is possible to display chaotic behaviors.

元の言語英語
ページ(範囲)1702-1707
ページ数6
ジャーナルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
2
出版物ステータス出版済み - 12 1 1998
イベントProceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 2 (of 5) - San Diego, CA, USA
継続期間: 10 11 199810 14 1998

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chaotic dynamics
Chaos theory
Dynamical systems
learning
Derivatives
simulation
method

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture

これを引用

Chaos control using maximum Lyapunov number of universal learning network. / Hirasawa, K.; Wan, X.; Murata, J.; Hu, J.

:: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 巻 2, 01.12.1998, p. 1702-1707.

研究成果: ジャーナルへの寄稿Conference article

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